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analcatdata_gsssexsurvey

analcatdata_gsssexsurvey

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Author: Source: Unknown - Date unknown Please cite: analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two versions of each of 84 data sets, plus this README file. Each data set is given in comma-delimited ASCII (.csv) form, and Microsoft Excel (.xls) form. NOTICE: These data sets may be used freely for scientific, educational and/or noncommercial purposes, provided suitable acknowledgment is given (by citing the above-named reference). Further details concerning the book, including information on statistical software (including sample S-PLUS/R and SAS code), are available at the web site http://www.stern.nyu.edu/~jsimonof/AnalCatData Information about the dataset CLASSTYPE: numeric CLASSINDEX: last Note: Quotes, Single-Quotes and Backslashes were removed, Blanks replaced with Underscores

10 features

AIDS_know (target)numeric5 unique values
0 missing
Marriednominal2 unique values
0 missing
Agenumeric45 unique values
0 missing
Years_of_educationnumeric14 unique values
0 missing
Malenominal2 unique values
0 missing
Religiousnominal2 unique values
0 missing
Sex_partnersnumeric13 unique values
0 missing
Incomenumeric20 unique values
6 missing
Drug_usenominal2 unique values
0 missing
Same_sex_relationsnominal2 unique values
0 missing

19 properties

159
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
6
Number of missing values in the dataset.
6
Number of instances with at least one value missing.
5
Number of numeric attributes.
5
Number of nominal attributes.
3.77
Percentage of instances having missing values.
0.47
Average class difference between consecutive instances.
0.38
Percentage of missing values.
0.06
Number of attributes divided by the number of instances.
50
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
50
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
5
Number of binary attributes.
50
Percentage of binary attributes.

13 tasks

18 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: AIDS_know
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: AIDS_know
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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